Nokia (NOKBF) Selling, General & Administrative (2009 - 2026)
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Analysis
Nokia (NOKBF) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 949.65 Mn |
| Mar 31, 2026 | 757.47 Mn |
| Dec 31, 2025 | 994.09 Mn |
| Sep 30, 2025 | 830.03 Mn |
| Jun 30, 2025 | 816.14 Mn |
| Mar 31, 2025 | 737.37 Mn |
| Dec 31, 2024 | 837.78 Mn |
| Sep 30, 2024 | 755.58 Mn |
| Jun 30, 2024 | 769.97 Mn |
| Mar 31, 2024 | 752.85 Mn |
| Dec 31, 2023 | 832.78 Mn |
| Sep 30, 2023 | 758.75 Mn |
| Jun 30, 2023 | 751.36 Mn |
| Mar 31, 2023 | 782.47 Mn |
| Dec 31, 2022 | 854.97 Mn |
| Dec 31, 2021 | 867.13 Mn |
| Sep 30, 2021 | 794.84 Mn |
| Jun 30, 2021 | 857.44 Mn |
| Mar 31, 2021 | 782.85 Mn |
| Dec 31, 2020 | 926.41 Mn |
API Access
Nokia Selling, General & Administrative API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=NOKBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NOKBF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=NOKBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();